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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Amirkabir University of Technology</PublisherName>
				<JournalTitle>Amirkabir Journal of Civil Engineering</JournalTitle>
				<Issn>2588-297X</Issn>
				<Volume>53</Volume>
				<Issue>11</Issue>
				<PubDate PubStatus="epublish">
					<Year>2022</Year>
					<Month>01</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Influence of Inelastic Constant-Ductility SDOF Location versus Near-Fault Records</ArticleTitle>
<VernacularTitle>Influence of Inelastic Constant-Ductility SDOF Location versus Near-Fault Records</VernacularTitle>
			<FirstPage>4767</FirstPage>
			<LastPage>4786</LastPage>
			<ELocationID EIdType="pii">4163</ELocationID>
			
<ELocationID EIdType="doi">10.22060/ceej.2020.18538.6894</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Shakiba</FirstName>
					<LastName>Monfaredi</LastName>
<Affiliation>Graduate Student, Faculty of Civil Engineering, Babol Noshirvani University of Technology, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Hamed</FirstName>
					<LastName>Hamidi</LastName>
<Affiliation>Faculty of Civil Engineering/Assistant Professor</Affiliation>
<Identifier Source="ORCID">0000-0003-2954-9446</Identifier>

</Author>
<Author>
					<FirstName>Horr</FirstName>
					<LastName>Khosravi</LastName>
<Affiliation>Faculty of Civil Engineering, Babol Noshirvani University of Technology, Iran</Affiliation>
<Identifier Source="ORCID">0000-0002-8972-4894</Identifier>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2020</Year>
					<Month>06</Month>
					<Day>02</Day>
				</PubDate>
			</History>
		<Abstract>&lt;span style=&quot;letter-spacing: .05pt;&quot;&gt;The unique features and destructive effects of near-fault records are of high interest to many researchers; the issue of the location of structures against these records has received less attention due to the lack of data. Therefore, in this study, the focus is on the effect of the location of the structure vs. causative fault on the amount of damage. To this end, we need enough near-fault records, which can be simulated using the synthetic generation technique due to the lack of real data. Using the fault parameters obtained for the 1999-Kocaeli earthquake, 273 earthquake records were generated by different location coordinates using the theoretical-based Green&#039;s function. To evaluate the seismic performance of the structures, OpenSEES software was used to carry out 9828 dynamic time-history analyses. The studied structures are SDOF with constant ductility. The records were applied according to the position of the structure against the causative fault and the relevant spectra were drawn as colored contours. The results showed that the location of the maximum responses in the inelastic state is almost the same as in the elastic state, so the critical location can be determined by a simpler elastic analysis; Stations that showed a maximum value at low periods have a larger amplitude, and stations that showed a maximum value at high periods have a higher pulse period. Both the distance and the angle of the SDOF location are influential in determining the location of the more severe failure.&lt;/span&gt;</Abstract>
			<OtherAbstract Language="FA">&lt;span style=&quot;letter-spacing: .05pt;&quot;&gt;The unique features and destructive effects of near-fault records are of high interest to many researchers; the issue of the location of structures against these records has received less attention due to the lack of data. Therefore, in this study, the focus is on the effect of the location of the structure vs. causative fault on the amount of damage. To this end, we need enough near-fault records, which can be simulated using the synthetic generation technique due to the lack of real data. Using the fault parameters obtained for the 1999-Kocaeli earthquake, 273 earthquake records were generated by different location coordinates using the theoretical-based Green&#039;s function. To evaluate the seismic performance of the structures, OpenSEES software was used to carry out 9828 dynamic time-history analyses. The studied structures are SDOF with constant ductility. The records were applied according to the position of the structure against the causative fault and the relevant spectra were drawn as colored contours. The results showed that the location of the maximum responses in the inelastic state is almost the same as in the elastic state, so the critical location can be determined by a simpler elastic analysis; Stations that showed a maximum value at low periods have a larger amplitude, and stations that showed a maximum value at high periods have a higher pulse period. Both the distance and the angle of the SDOF location are influential in determining the location of the more severe failure.&lt;/span&gt;</OtherAbstract>
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			<Object Type="keyword">
			<Param Name="value">SDOF</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">location of the structure</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">near-fault</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">constant ductility</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Bi-linear steel material</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ceej.aut.ac.ir/article_4163_60495b4e033e9f60b32a6607b587aadd.pdf</ArchiveCopySource>
</Article>
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